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bagyo vs hoopr

A side-by-side editorial comparison of bagyo and hoopr — release velocity, themes, recent moves, and the top alternatives to consider.

bagyo vs hoopr: at a glance

Featurebagyohoopr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopen data, tropical cyclones, philippines, data packagesports-data, basketball, api-client, httr2
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is bagyo?

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

Read the full bagyo trajectory →

What is hoopr?

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

Read the full hoopr trajectory →

bagyo vs hoopr: editorial side-by-side

B
bagyo
ANALYTICS
0.0

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

◆ Current state

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

◆ Where it's heading

The package is establishing itself as a citable, yearly-updated dataset rather than a one-off scrape — the download helper and the '2022 data and general yearly upkeep' commit both point at a recurring refresh, and the CRAN DOI and CITATION file exist so the data can be cited in papers. It sits alongside the same maintainer's other public-health and survey data packages, which received matching repository upkeep in the same month.

◆ Prediction

Expect an annual data release adding the next typhoon season, since that is the only recurring change in the history and the download helper was written to support it.

H
hoopr
ANALYTICS
0.0

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

◆ Current state

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

◆ Where it's heading

The package's history is two distinct eras. Through 2021-2023 it grew by endpoint accretion — ESPN stat functions, G-League coverage, the NBA live and boxscore V3 families, on-court players in play-by-play — expanding what could be pulled. The recent work is consolidation instead: one HTTP pipeline, one messaging library, data served from the shared sportsdataverse-data releases rather than per-package repositories. The centre of gravity has moved from adding endpoints to making the plumbing survive its dependencies.

◆ Prediction

With the HTTP layer unified behind shared helpers, expect the sibling sportsdataverse packages to follow the same httr2 migration, and hoopR's own next releases to resume endpoint work now that requests run through one pipeline.

Alternatives to bagyo and hoopr

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either bagyo or hoopr.

See all bagyo alternatives → · See all hoopr alternatives →

Recent activity from bagyo and hoopr

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4mo agohooprhoopR 3.0.0 moves every API backend to httr2
  2. 7mo agobagyobagyo v0.1.1
  3. 7mo agobagyo2021 and 2022 typhoon data added
  4. 2y agobagyoPre-release for Zenodo archiving
  5. 2y agobagyoInitial pre-release
  6. 2y agohooprData loaders repoint to sportsdataverse-data; NBA live endpoints
  7. 4y agohooprESPN stat functions and G-League coverage added
  8. 4y agohooprCRAN release with documented return shapes
  9. 4y agohooprhoopR 1.4.4
  10. 4y agohooprhoopR 1.4.3

Frequently asked questions

What is the difference between bagyo and hoopr?

They serve adjacent needs but don't currently overlap on shipped themes. bagyo and hoopr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bagyo better than hoopr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bagyo and hoopr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to bagyo?

Top bagyo alternatives in Analytics are ranked by recent ship velocity. Browse the "bagyo alternatives" section above for the current picks, or visit /alternatives/bagyo for the full list with editorial commentary on each.

What are the best alternatives to hoopr?

Top hoopr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoopr alternatives" section above for the current picks, or visit /alternatives/hoopr for the full list with editorial commentary on each.